decisionsupport.sdsu.eduDecision Support – Intergrated Stage-Based Evacuation with Social Perception Analysis and Dynamic Po

Skip to content Search for: Home Page People Research Team Advisory Board National Visiting Committee- NVC Research About the Project Events Summer 2018 Workshops Summer 2017 Workshops ReadySD Social App Beta Testing OES Open House Publications Education Resources News and Media Posts November 2016 January 2017 February 2017 March 2017 April 2017 March 2019 July 2019 Menu Integrated Stage-Based Evacuation with Social Perception Analysis and Dynamic Population Estimation The research will help emergency response agencies better understand public perceptions and needs during disaster events, and create more effective evacuation plans for local communities. This project will integrate multiple data sources—including social media, census survey, geographic information systems (GIS) data layers, volunteer suggestions, and remote sensing data—to develop an integrated wildfire evacuation decision support system (IWEDSS) for the County of San Diego as a demonstration prototype system. IWEDSS will consist of four core modules: dynamic population estimation, stage-based robust evacuation models, social perception analysis, and a web-based geospatial analytics platform. It will offer scientifically-based and data-driven analytic tools for evacuation planers, resource managers, and decision makers to support efficient and effective decision-making activities that can reduce the evacuation time and potential number of injuries and deaths. The research team will collaborate with staff from the Office of Emergency Services (OES) of San Diego County, the San Diego/Imperial Counties Chapter of the American Red Cross, and 2-1-1 San Diego to develop IWEDSS together. The four main goals of this project are to: Goal 1: Build a dynamic estimated population distribution (density) model in urban areas by integrating multiple data sources and GIS models (dasymetric mapping methods). Goal 2: Design stage-based evacuation plans with population density distributions and develop robust optimization models to account for demand uncertainties. Goal 3: Create a public opinion monitor and a resident feedback network to improve evacuation plans by understanding social perception of the disasters in local communities through the real-time analysis of social media and volunteer suggestions. Goal 4: Build a web-based geospatial analytics platform and provide interactive decision support tools for decision makers, emergency resource managers, and public officers. Introduction of SMART 2.0 Dashboard SMART Dashboard is a Geo-Targeted search tool for Twitter messages to monitor the diffusion of information and social behavior changes which provides an automatic procedure to help researchers to: 1. Search geographically in cities 2. Filter noises (such as removing redundant retweets and using machine learning methods to improve precisions) 3. Analyze social media data from a spatiotemporal perspective 4. Visualize social media data in various aspects (such as weekly and monthly trends, top URLs, top retweets, top mentions, or top hashtags) Lates Posts July 2019 March 2019 Summer Workshop (Aug 2017) 2017 AAG Meeting SDSU Big Data Hackathon 2017 UBER movement University Transportation Center Grant A Visit to the HDMA Center on 11/30/16 Contact Information Principal Investigator: Dr. Ming-Hsiang Tsou Center for Human Dynamics in the Mobile Age, San Diego State University 5500 Campanile Drive, San Diego, CA 92182-4493 Tel: (619) 594-0205 E-mail: mtsou@mail.sdsu.edu Get to Know the Research Team! GIScience and Web GIS ( Tsou ), GIScience ( Nara ), Transportation ( Yang ), Transportation ( Ghanipoor Machiani ) Follow us on Link To NSF Award Information Integrated Stage-based Evacuation with Social Perception Analysis and Dynamic Population Estimation is funded by National Science Foundation, NSF Award Abstract #1634641. Opinions expressed are those of the authors and not necessarily those of the National Science Foundation. See Link Above for Project Abstract on the National Science Foundation Website. A SiteOrigin Theme Select Location Type City State Country City + State City + Country State + Country City + State + Country Full Address Insert...